Senior Backend Engineer

Remote /
Engineering /
Full-time
At Alkymi, we’re on a mission to supercharge human productivity and enable intelligent decision making with instantly actionable data. We’re working every day to push the boundaries of what’s possible using machine learning, data science, and world-class engineering, all fueled by our commitment to providing a best-in-class user experience.

Our core products, Alkymi Data Inbox and Patterns, make it possible for anyone to build intelligent data extraction workflows, driving transformative productivity gains for our customers and unlocking a new automation paradigm that will fundamentally change the way humans interact with and leverage data.

As we continue to scale, we're seeking a Senior Backend Engineer to join our core team.

About You

    • You're a driven, motivated leader. Be an important contributor to our best practices and engineering culture.
    • You're an expert in writing Python code, developing Django web applications, and building Celery-based pipelines.
    • You have familiarity with data science libraries like Pandas (or have a passion to learn!).
    • Experience designing backend APIs and messaging queue-based architectures.
    • JVM / Java / Kotlin experience is a plus. We have several microservices written in these languages.
    • Interest in contributing to our DevOps tools and processes.
    • BS in Computer Science, Engineering, etc

Your day-to-day

    • Collaborate with a cross-functional, technical team of frontend engineers, data scientists, and product managers to build the backend foundation of Alkymi.
    • Work closely with the CTO to design and develop the architecture of the Alkymi platform.
    • Establish best practices for backend and data engineering through guild meetings and developer documentation.
    • Contribute to Python code written using the Django, Django Rest Framework (DRF) and Celery frameworks.
    • Work with a modern tech stack and thoughtful DevOps processes. We use a GitOp-based development workflow with Continuous Integration through Kubernetes, Github, and CircleCI. Automated deployments to our staging environment and end-to-end tests are trigger on every merge across our repositories.